Run
199354

Run 199354

Task 4647 (Supervised Classification) tumors_C Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.SPegasos(5)S. Shalev-Shwartz, Y. Singer, N. Srebro: Pegasos: Primal Estimated sub-GrAdient SOlver for SVM. In: 24th International Conference on MachineLearning, 807-814, 2007.
weka.SPegasos(5)_F0
weka.SPegasos(5)_L1.0E-4
weka.SPegasos(5)_E500

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

0.5205
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5373
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0379
Cross-validation details (10 times 10-fold Crossvalidation)
-46.4579
Cross-validation details (10 times 10-fold Crossvalidation)
0.4733
Cross-validation details (10 times 10-fold Crossvalidation)
0.4565
Cross-validation details (10 times 10-fold Crossvalidation)
600
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.5634
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5267
Cross-validation details (10 times 10-fold Crossvalidation)
0.9383
Cross-validation details (10 times 10-fold Crossvalidation)
0.5267
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
1.037
Cross-validation details (10 times 10-fold Crossvalidation)
0.477
Cross-validation details (10 times 10-fold Crossvalidation)
0.688
Cross-validation details (10 times 10-fold Crossvalidation)
1.4423
Cross-validation details (10 times 10-fold Crossvalidation)
869.6028
1610
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
1600
Cross-validation details (10 times 10-fold Crossvalidation)